Derivaciones en los centros de salud de Andalucía según el sexo de profesionales y pacientes: un análisis de género.

BACKGROUND It has been identified differences of medical care practice in primary care related to physician's sex. Simultaneously, there are gender inequalities in the assignment of health resources. Both aspects give rise to an increasing growing interest in the management and provision of health services. OBJECTIVES To examine the differences in the referral practice made by female and male primary care physicians working in health centers in Andalusia, to consider whether there are disparities in referrals received by men and women, and to examine the interaction between patient's sex and physician's sex. METHODS Observational, cross-sectional, and multicenter study. POPULATION 4 health districts in Andalucía and their physicians. SAMPLE 382 physicians. MEASUREMENTS referral rate per visit (RV), referral rate per patient quota (RQ), patient's sex, physician: sex, age, postgraduate family medicine specialty, size of the patient quota by sex, mean number of patients/day by sex, mean age of the patient quota by sex, and proportion of men in the quota. Health center: urban / rural, size of the team, enrolled population, and postgraduate family medicine specialty's accreditation. SOURCES databases of health districts. PERIOD OF STUDY 2010. ANALYSIS Bivariate and multivariate multilevel analysis of the referral rate per visit with mixed Poisson model. RESULTS In 2010 382 physicians made 129,161 referrals to specialized care. The RQ was 23.47 and the RV was 4.92. The RQ in women and men was 27.23 and 19.78 for women physicians, being 27.37 and 19.51 for male physicians. The RV in women and men was 4.92 and 5.48 for women physicians, being 4.54 and 4.93 for male physicians. CONCLUSION There are no differences in referral according to physician's sex. However, there are signs that might indicate the existence of gender inequality, and women patient received less referrals. There are no physician-patient's sex interaction.

Trends in socioeconomic inequalities in preventable mortality in urban areas of 33 Spanish cities, 1996-2007 (MEDEA project).

Abstract Background: Preventable mortality is a good indicator of possible problems to be investigated in the primary prevention chain, making it also a useful tool with which to evaluate health policies particularly public health policies. This study describes inequalities in preventable avoidable mortality in relation to socioeconomic status in small urban areas of thirty three Spanish cities, and analyses their evolution over the course of the periods 1996–2001 and 2002–2007. Methods: We analysed census tracts and all deaths occurring in the population residing in these cities from 1996 to 2007 were taken into account. The causes included in the study were lung cancer, cirrhosis, AIDS/HIV, motor vehicle traffic accidents injuries, suicide and homicide. The census tracts were classified into three groups, according their socioeconomic level. To analyse inequalities in mortality risks between the highest and lowest socioeconomic levels and over different periods, for each city and separating by sex, Poisson regression were used. Results: Preventable avoidable mortality made a significant contribution to general mortality (around 7.5%, higher among men), having decreased over time in men (12.7 in 1996–2001 and 10.9 in 2002–2007), though not so clearly among women (3.3% in 1996–2001 and 2.9% in 2002–2007). It has been observed in men that the risks of death are higher in areas of greater deprivation, and that these excesses have not modified over time. The result in women is different and differences in mortality risks by socioeconomic level could not be established in many cities. Conclusions: Preventable mortality decreased between the 1996–2001 and 2002–2007 periods, more markedly in men than in women. There were socioeconomic inequalities in mortality in most cities analysed, associating a higher risk of death with higher levels of deprivation. Inequalities have remained over the two periods analysed. This study makes it possible to identify those areas where excess preventable mortality was associated with more deprived zones. It is in these deprived zones where actions to reduce and monitor health inequalities should be put into place. Primary healthcare may play an important role in this process. Keywords: Preventable avoidable mortality, Causes of death, Inequalities in health, Small area analysis